TUTORIALS

The AI-in-M&E Safety Gate: Risk Assessment Before Deployment Before an AI system becomes part of an M&E workflow, evaluators need a final decision point: Is this AI use appropriate, sufficiently controlled, and ready to deploy? Core principle: An AI tool …

AI Tool & Vendor Due Diligence for M&E Before using an AI tool in an evaluation, it is not enough to ask whether it is powerful or easy to use. Evaluators also need to ask: What happens to our data? …

EvalCommunity Academy · AI Tools for M&E Rural Senses: Exploring an AI-Powered Evaluation Workflow Discover how an integrated impact measurement platform can support data collection, qualitative analysis, visualization, impact management and reporting. Tutorial Overview Evaluation work often involves several disconnected …

AI Accuracy, Evidence Integrity & Responsible AI AI Bias Testing for Evaluators A practical step-by-step guide to testing whether AI-assisted M&E workflows produce systematically different, incomplete, or potentially harmful results across groups. What You Will Do This tutorial is application-focused. …

AI Accuracy, Evidence Integrity & Responsible AI Protecting Evaluation Data: PII, Anonymization & AI A practical guide for evaluators and M&E professionals on identifying personal information, reducing re-identification risk, and preparing evaluation data for responsible AI-assisted analysis. What You Will …

Can AI Make Weak Evidence Look Strong? A Practical M&E Test AI can summarize evaluation evidence quickly. But there is another problem evaluators need to test: an AI-generated explanation can make limited evidence sound more convincing than the evidence itself. …

Can AI Fill the Gaps in Evaluation Evidence? A Practical M&E Test When evaluation evidence is incomplete, AI can produce a plausible explanation that quietly fills the gaps. This practical test helps evaluators distinguish what the evidence actually says from …